Social scientists and related workers, all other
SOC Code: 19-3099
Social scientists and related workers, all other carries a 45% AI exposure score (High automation risk), with a median annual wage of $100,340 and -1.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 40,800 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 45% AI exposure, Social scientists and related workers, all other sits 8 points above the 37.2% average across 832 U.S. occupations - more exposed than 79% of them. Most of its core tasks still require human judgment.
Career outlook score
45/100
Social scientists and related workers, all other, weighted across 3 of 3 tracked dimensions
A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.
- Median wage A $100,340
Annual median wage, percentile rank vs all tracked occupations
- Projected growth F -1.7%
Projected employment change, 2024-2034, BLS Employment Projections
- AI exposure (inverted) F 45% exposure
Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure
Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).
Automation-risk inventory
Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Social scientists and related workers, all other in the High band.
Credential × growth standing
Bachelor's band with mid-pack BLS pace
Social scientists and related workers, all other shares the Bachelor's gate with 178 peer occupations and lands in Slow growth (245 of 832). Neither the rarest nor the most crowded growth shelf - use wage and AI desks on this page for the differentiator.
Where Social scientists and related workers, all other sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Where Social scientists and related workers, all other sits by AI exposure
AI-exposure score distribution across U.S. occupations (O*NET task analysis)
45% Higher than most higher than 79% of 832 occupations
Occupations, banded by AI-exposure score
Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.
Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Social scientists and related workers, all other vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Social scientists and related workers, all other is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Where This Score Comes From
Social scientists and related workers, all other's High automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.
The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 19-3099) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Social scientists and related workers, all other be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Social scientists and related workers, all other. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Define regional or local transportation planning problems or priorities.
- 2. Participate in public meetings or hearings to explain planning proposals, to gather feedback from those affected by projects, or to achieve consensus on project designs.
- 3. Prepare reports or recommendations on transportation planning.
- 4. Collaborate with engineers to research, analyze, or resolve complex transportation design issues.
- 5. Recommend transportation system improvements or projects, based on economic, population, land-use, or traffic projections.
- 6. Develop computer models to address transportation planning issues.
- 7. Analyze information related to transportation, such as land use policies, environmental impact of projects, or long-range planning needs.
- 8. Interpret data from traffic modeling software, geographic information systems, or associated databases.
- 9. Design transportation surveys to identify areas of public concern.
- 10. Collaborate with other professionals to develop sustainable transportation strategies at the local, regional, or national level.
Key Skills Required
- Reading Comprehension
- Active Listening
- Writing
- Speaking
- Critical Thinking
- Complex Problem Solving
- Judgment and Decision Making
- Active Learning
- Systems Evaluation
- Coordination
Knowledge Areas
- Transportation
- English Language
- Mathematics
- Geography
- Law and Government
- Computers and Electronics
- Administration and Management
- Engineering and Technology
- Customer and Personal Service
- Design
Frequently Asked Questions
Will AI replace Social scientists and related workers, all other?
Social scientists and related workers, all other has an AI exposure score of 45%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.
What is the job outlook for Social scientists and related workers, all other?
According to BLS Employment Projections 2024-2034, Social scientists and related workers, all other is projected to decline by 1.7% over the decade. Current employment stands at approximately 40,800 workers.
What skills are needed for Social scientists and related workers, all other?
Key skills for Social scientists and related workers, all other include Reading Comprehension, Active Listening, Writing, and others. Typical entry-level education is Bachelor's degree.
How much do Social scientists and related workers, all other earn?
The median annual wage for Social scientists and related workers, all other is $100,340, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Social scientists and related workers, all other?
The typical entry-level education for Social scientists and related workers, all other is Bachelor's degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.
Which companies employ Social scientists and related workers, all other?
Social scientists and related workers, all other roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.
Nationwide occupations with similar workforce profiles
Two data-derived peer sets for Social scientists and related workers, all other: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).
Similar AI exposure score
Nearest O*NET task-automability scores nationwide (45% here).
- Advertising sales agents · AI exposure 45%
- Broadcast announcers and radio disc jockeys · AI exposure 45%
- Electrical and electronics repairers, commercial and industrial equipment · AI exposure 45%
- First-line supervisors of mechanics, installers, and repairers · AI exposure 45%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (-1.7% here).
- Sound engineering technicians · growth -1.7%
- Baggage porters and bellhops · growth -1.6%
- Cabinetmakers and bench carpenters · growth -1.6%
- Executive secretaries and executive administrative assistants · growth -1.6%
Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.
Related Occupations
Showing 6 of 13 occupations with a comparable automation-risk profile.
What to do with this
Use Social scientists and related workers, all other's numbers above to compare, not just read in isolation.
- Compare Social scientists and related workers, all other side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.
Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).